Sign Language Recognition for Electrical Device Control
Jefferson Ribadeneira, Robert Rodríguez Loaiza, Kevin Alexander Maldonado Delgado, Ana Lucia Logroño Noboa · Revista Perspectivas · 2025
This research paper presents the implementation of a dactylographic sign language recognition system using artificial intelligence applied to control electrical devices. The system aims to enhance interaction between humans and electrical devices, particularly for individuals with hearing impairments, by providing a natural and intuitive method for interaction. The system utilizes computer vision techniques to recognize hand gestures in dactylographic sign language, and a microcontroller-based circuit controls the electrical devices. The system performance was evaluated in terms of accuracy, response time, and usability, yielding promising results for future applications in industry and medicine.